Android’s latest OS takes a big step forward integrating AI into the UI. The Android website advertises that “Android 9 Pie harnesses the power of AI for a truly intuitive experience”.

One of the major implementations of AI in Pie is called App Actions. Android 9.0 monitors your routines, processes data, and offers predicted actions directly in the phone’s app launcher when appropriate. For example, it can recommend a song to you on Spotify when you’re on your morning commute. Android has focused on quality over quantity with regard to App Actions and they are startlingly accurate—when it has enough data collected on how you use your phone, often it predicts exactly what you do next.

In addition to App Actions, Android Pie also offers Adaptive Battery and Adaptive Brightness. Android teamed up with the AI company DeepMind to create Adaptive Battery, an AI-based program that learns how you use your phone and optimizes usage so that inactive apps and services don’t drain the battery. Adaptive Brightness learns your preferred brightness settings and automatically adjusts them to your liking.

Those concerned with privacy should note that Android has stated that all machine learning is happening on the device rather than in the cloud.

ANDROID ADOPTS GESTURES OVER BUTTONS

Perhaps the biggest UI overhaul is the transition from buttons to gestures. Android P is following the iPhone X’s lead in using gestures rather than buttons. This means UI is very home-screen button centric. The overhaul may be jarring to some. Luckily, app users can have it both ways as gesture navigation is adjustable in the phone’s settings.

Check out the video breakdown of the differences between Apple iPhone X and Android P gestures below.

THIS PIE’S GONNA HAVE SLICES

Android has announced App Slices in Android Pie, but has yet to unveil them at this time. When you search for an app on Android, the app icon comes up. With App Slices, Android will not only pull up the icon, but will pull up actual information within apps and allow you to interact with the app directly within the search results. For example, if you search for Uber, it may bring up time & price estimates to go to commonly frequented locations and allow you to set a pick-up without having to open the app directly.

Android Slices present a great opportunity for app developers to create shortcuts to functions in their app. They also constitute the beginnings of Google’s approach to “remote content.” Learn more about Slices below:

APP LIMITS FOR ENCOURAGING HEALTHY USE

Addicted to your phone? Android P not only tracks the amount of time you spend on your phone, it allows users to set time limits for how long an app can be used for a day. App Time Limits prevent you from opening apps when you’ve gone over your limit with no option to ignore—the only way to access them again for the day is to turn the time limit off from the Settings page.

HUNGRY FOR PIE?

As with all Android OS’s, Android Pie will have a staggered release across devices. As of November 2018, it is available on Pixel phones as well as The Essential Phone.

Meanwhile, Android Pie is anticipated to be rolled out on many other phones by December 21st. For a comprehensive, frequently updated breakdown, check out Android Central’s list of the expected roll out dates for each phone manufacturer.

Last week, we explored the real power of Artificial Intelligence. AI’s ability to comprehend complex data sets and form patterns enables infinite new possibilities for personalization through the analysis of digital activity. Within the digital marketing industry, AI has been nothing short of a revolution. Here are the top ways in which Artificial Intelligence is impacting digital marketing:

NATURAL LANGUAGE PROCESSING

Natural Language Processing (NLP) is a field that focuses on the ability for computers to process human language to the point where it can generate replies based on inferred meaning. Machine Learning has sharply increased the ability for machines to generate sentiments designed to not only seem as if they were written by a human, but that are optimized based on data to elicit a specific action or emotional response.

Digital marketers fret over when to reach out, what to say, and what channel is most appropriate. AI’s NLP abilities mean that the guessing game has come to an end. AI can analyze big data to decide upon what the best method, channel, and timing will be in order to foster growth, engagement, and sales.

NLP as a trend is on the rise. Angel.co recently valued the average NLP start-up at $4.8 million.

SEARCH FILTERING

In days of yore, Google search rankings were determined by human-created metrics and social media feeds showed posts in chronological order. Now, programs like RankBrain are vital to deciding the criteria for Google’s search rankings while Facebook’s DeepText creates your newsfeed.

ADVERTISING

Artificial Intelligence drives programmatic purchasing, which is when AI determines who to show ads to and when to show them. Removing the burden of purchasing analysis leaves marketers room to focus on crafting powerful messages.

NLP enables AI to understand (through numbers and sentiment analysis) the abstract criterion of “context” and to match individuals with ads based on context to maximize the chances of generating a click or purchase.

According to Ad Exchange, programmatic purchasing accounted for 67% of all global display ads in 2017.

PSYCHOGRAPHIC PROFILES

Perhaps the most anxiety-inducing example of Artificial Intelligence impacts not only digital marketing, but politics.

Psychographic profiles are data-driven psychological profiles of consumers designed to shed light on why they do what they do. Firms like CaliberMind and Cambridge Analytica have turned this into a multi-million dollar industry. Insights gleaned from psychographic profiles are intended to optimize the messaging of both political and commercial ads to induce a desired action from the viewer.

Cambridge Analytica has taken credit for influencing both the Brexit vote and the 2016 presidential election; however, many (including the New York Times) cast a shadow of doubt over the extent of their impact. Regardless, as long as there are insights to be gleaned from digital activity, psychographic profiles will only continue to develop.

Every application of artificial intelligence in digital marketing is relatively new. While these applications are increasing in popularity, expect them to also increase in efficiency and effectiveness as technology continuously advances.

Technological innovations expand the possibilities of our world, but they can also shake-up society in a disorienting manner. Periods of major technological advancement are often marked by alienation. While our generation has seen the boon of the Internet, the path to a new world may be paved with Artificial Intelligence.

WHAT IS ARTIFICIAL INTELLIGENCE

Artificial intelligence is defined as the development of computer systems to perform tasks that normally require human intelligence, including speech recognition, visual perception, and decision-making. As recently as a decade ago, artificial intelligence evoked the image of robots, but AI is software not hardware. For app developers, the modern-day realization of artificial intelligence takes on a more amorphous form. AI is on all of your favorite platforms, matching the names and faces of your friends. It’s planning the playlist when you hit shuffle on Apple Music. It’s curating the best Twitter content from you based on data-driven logic that is often too complex even for the humans who programmed the AI to decipher.

MACHINE LEARNING

Currently, Machine Learning is the primary means of achieving artificial intelligence. Machine Learning is the ability for a machine to continuously improve its performance without humans having to explain exactly how to accomplish all of the tasks it has been given. Web and Software programmers create algorithms capable of recognizing patterns in data imperceptible to the human eye and alter their behavior based on them.

For example, Google’s autonomous cars view the road through a camera that streams the footage to a database that centralizes the information of all cars. In other words, when one car learns something—like an image or a flaw in the system—then all the cars learn it.

For the past 50 years, computer programming has focused on codifying existing knowledge and procedures and embedding them in machines. Now, computers can learn from examples to generate knowledge. Thus, Artificial Intelligence has already permanently disrupted the standard flow of knowledge from human to computer and vice versa.

PERCEPTION AND COGNITION

Machine learning has enabled the two biggest advances in artificial intelligence: perception and cognition. Perception is the ability to sense, while cognition is the ability to reason. In a machine’s case, perception refers to the ability to detect objects without being explicitly told and cognition refers to the ability to identify patterns to form new knowledge.

Perception allows machines to understand aspects of the world in which they are situated and lays the groundwork for their ability to interact with the world. Advancements in voice recognition have been some of the most useful. In 2007, despite its incredibly limited functionality, Siri was an anomaly that immediately generated comparisons to HAL, the Artificial Intelligence in 2001: A Space Odyssey. 10 years later, the fact that iOS 11 enables Siri to translate French, German, Italian, Mandarin and Spanish is a passing story in our media lifecycle.

Image recognition has also advanced dramatically. Facebook and iOS both can recognize your friends’ faces and help you tag them appropriately. Vision systems (like the ones used in autonomous cars) formerly made a mistake when identifying a pedestrian once in every 30 frames. Today, the same systems err less than once in 30 million frames.

EXPANSION

AI has already made become a staple of mainstream technology products. Across every industry, decision-making executives are looking to capitalize on what AI can do for their business. No doubt whoever answers those questions first will have a major edge on their competitors.

Next week, we will explore the impact of AI on the Digital Marketing industry in the next installment of our blog series on AI.